Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. About the Team & Opportunity We are redefining how clinical teams work by embedding AI directly into Utilization Management (UM) and Care Management (CM) workflows - where decisions impact real patients every day. Our team partners closely with clinical leaders, business stakeholders, and operations teams to identify high value pain points and turn them into scalable, production ready AI solutions that improve efficiency, quality, and clinician experience. This is not a research only or sandbox AI role. Our solutions are actively deployed within clinical workflows, helping nurses, care managers, and clinicians spend less time on manual, administrative effort and more time delivering care. From intelligent case summarization to workflow automation and decision support, we focus on pragmatic AI that delivers measurable impact at scale. As a Lead AI/ML Engineer, you will drive end to end ownership - shaping problem statements with the business, designing and implementing AI/ML solutions, and ensuring they integrate seamlessly into existing platforms and workflows. You will influence technical direction, mentor other engineers, and play a key role in operationalizing AI responsibly within a regulated healthcare environment. If you’re excited about using AI to solve real clinical problems, enjoy working closely with cross functional partners, and want your work to directly improve how care is delivered to patients, this role offers a rare opportunity to do exactly that. You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Design, develop, and maintain full stack applications using Next.js, React, and modern TypeScript patterns - Build and integrate LLM powered capabilities (e.g., summarization, search, assistants, decision support) using industry standard AI frameworks and APIs - Design and optimize backend services and APIs, ensuring scalability, reliability, and security - Develop and manage data models and queries using PostgreSQL, focusing on performance and data integrity - Deploy, monitor, and operate applications on Microsoft Azure (App Services, Containers, Functions, Storage, AI services, etc.) - Implement best practices for cloud architecture, CI/CD pipelines, observability, and cost optimization - Collaborate with architects and AI engineers on system design, model integration, and platform capabilities - Write clean, testable, and well documented code; lead by example in code reviews and technical standards - Mentor junior engineers and contribute to technical decision making and solution direction You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - Bachelor’s degree in Computer Science or related role or 4+ years of equivalent experience - 8+ years of professional software engineering experience, including full stack development - 4+ years of experience with CI/CD pipelines, automated testing, and cloud native deployment models - 4+ years of experience with Next.js / React, TypeScript, and modern frontend architectures - 4+ years of backend development experience with Node.js (or equivalent server side frameworks) - 4+ years of experience working with PostgreSQL or other relational databases - 4+ years of experience building and deploying applications on Microsoft Azure - 2+ years of experience integrating AI/LLMs into applications (prompting, orchestration, APIs, etc.) - 2+ years of experience working with RESTful APIs, authentication/authorization, and secure application design Preferred Qualification: - Proven excellent problem solving skills and ability to work across ambiguous problem spaces *All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you’ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. #OptumTechPJ

• Develop, test, and deploy LLM-powered extraction pipelines for clinical text at scale. • Automate prompt execution, result validation, and error handling to enhance reliability. • Monitor and maintain production AI models, ensuring uptime, accuracy, and compliance. • Work with product, data, engineering, and clinical teams to integrate AI outputs into real-world solutions. • Evaluate and integrate third-party AI solutions when appropriate. • Stay current with advancements in LLM deployment, model serving, and responsible AI practices. • As a growth organization, roles and responsibilities often evolve and adapt over time. As such, this job description may not comprehensively account for future activities, responsibilities, and priorities—these may evolve right along with us!

Role Description We're looking for an Applied AI Engineer to drive AI implementation across our portfolio companies. This is a new role, and frankly, a new function. You won't find a playbook for this job because it doesn't exist yet. Your mandate: make sure our portfolio companies are actually using AI. Not talking about it, not "exploring" it, but deploying it in ways that move the needle. That means customer service automation, developer productivity tools, sales and marketing workflows, back-office operations, and whatever else makes sense. You'll work closely with the Managing Partner to identify opportunities, evaluate tools, and get things live. Then you'll train portco teams to own what you've built. Rinse, repeat, across every company in the portfolio. This is 80% hands-on implementation, 20% evaluation and planning. There's no playbook for this yet, at Emberline or anywhere else. The partners will be genuine thought partners as you build the function. The expectation is not that you arrive with everything figured out; it's that you're willing to figure it out alongside us. This is a high agency, high opportunity seat with the ceiling set by you. Key Responsibilities - AI Implementation - Operational Audits: Assess each portfolio company's workflows across customer service, sales, marketing, finance, and operations, then identify where AI can reduce friction, cut costs, or improve quality. - Tool Deployment: Configure and deploy AI tools (chatbots, copilots, automation platforms, etc.) across portco functions. - Workflow Integration: Connect AI tools to existing systems like CRMs, helpdesks, marketing platforms, and codebases. - Rapid Prototyping: Test new AI applications quickly. Prove value in days or weeks, not months. - Vendor & Tool Evaluation - Landscape Monitoring: Stay current on AI tooling: what's shipping, what's vaporware, what's actually production-ready. - Vendor Screening: Evaluate vendors, run trials, negotiate pricing. - Build vs. Buy Decisions: Know when to use off-the-shelf tools, when to customize, and when to build something custom. - Enablement & Knowledge Transfer - Team Training: Train portfolio company teams to use and maintain the tools you deploy. - Documentation: Build simple, usable guides for each implementation. - Cross-Portfolio Learning: What works at one portfolio company should benefit the others. - Partner Support - Weekly Syncs: Work closely with the Managing Partner to prioritize, troubleshoot, and align on roadmap. - Experimentation Partner: Test new tools and approaches alongside the Partner. Qualifications - Experience in Product Management, Solutions Engineering, Technical Operations, or similar roles. - Hands-on experience with AI/ML tools in a professional context. - Strong understanding of APIs, integrations, and how systems connect. - Excellent communication skills. - Comfort with ambiguity. - This is a remote role but on-site engagements, rapport building and investigations are a key requirement, which will require travel. First 90 Days - Audit the portfolio. - Get something live. - Build handoff documentation. - Establish a vendor shortlist. - Establish the working rhythm.

• Build production-grade agentic systems on Databricks and other lakehouse platforms, including orchestration frameworks, task runners, and monitoring layers • Implement RAG pipelines, vector stores, and retrieval architectures that hold up under real-world load • Stand up evals, observability, and guardrails for client-deployed AI systems • Design and integrate MCP servers and tool-calling layers between LLMs and client systems • Lead the AI engineering workstream on a client pod, partnering with the Architect on platform decisions and the Consultant on roadmap • Coach client engineering teams on production AI patterns, including prompt management, model routing, and FinOps • Contribute to BOD’s internal Edge product suite, including reference architectures and the Blueprint scan engine